HealthSearchQA
HealthSearchQA是谷歌2023年《自然》期刊文章"大型语言模型编码临床知识"中提出的新数据集，包含3,173个常见消费者医疗问题，是MultiMedQA中七个数据集之一（其余六个为现有公开数据集）。HealthSearchQA以常见疾病和相关症状作为种子数据建立，谷歌团队通过这些种子从搜索引擎检索公开可用的常用搜索问题，所有问题都与种子术语相关。
xianweichengxiang可视化图片
HealthSearchQA_0.png
HealthSearchQA_1.webp
数据集元信息
| 模态 | other |
| 任务类型 | other |
| 解剖结构 | 不适用 |
| 解剖区域 | 通用医学 |
| 数据量 | 3173 |
| 文件格式 | .xlsx |
文件结构
HealthSearchQA.xlsx图像尺寸统计
| 统计类型 | 间距 (mm) | 尺寸 |
|---|---|---|
| 最小值 | 不适用 |
不适用 |
| 中位值 | 不适用 |
不适用 |
| 最大值 | 不适用 |
不适用 |
引用
@article{singhalLargeLanguageModels2023,
title = {Large Language Models Encode Clinical Knowledge},
author = {Singhal, Karan and Azizi, Shekoofeh and Tu, Tao and Mahdavi, S. Sara and Wei, Jason and Chung, Hyung Won and Scales, Nathan and Tanwani, Ajay and {Cole-Lewis}, Heather and Pfohl, Stephen and Payne, Perry and Seneviratne, Martin and Gamble, Paul and Kelly, Chris and Babiker, Abubakr and Sch{\"a}rli, Nathanael and Chowdhery, Aakanksha and Mansfield, Philip and {Demner-Fushman}, Dina and {Ag{\"u}era y Arcas}, Blaise and Webster, Dale and Corrado, Greg S. and Matias, Yossi and Chou, Katherine and Gottweis, Juraj and Tomasev, Nenad and Liu, Yun and Rajkomar, Alvin and Barral, Joelle and Semturs, Christopher and Karthikesalingam, Alan and Natarajan, Vivek},
year = {2023},
journal = {Nature},
volume = {620},
number = {7972},
pages = {172--180},
publisher = {Nature Publishing Group}
}